Complete working build of the system learn-python/ teaches. 164 tests, mypy --strict clean, domain coverage 99%.
8.5 KiB
svcforge runbook
Four entries. Each starts from an alert firing and ends at either a fix or an escalation. Every command is copy-pasteable; none of them require thinking at 3am, which is the point.
Set these first:
set -a; . ~/.config/svcforge/secrets.env; set +a # SVCFORGE_PG_DSN_SESSION for psql
alias sfsql='psql "$SVCFORGE_PG_DSN_SESSION"'
Measured numbers
From scripts/load.py + in-process workers on a FakeProvisioner (delay=0.05s), 200 tasks
per run. These came off local Postgres on the same box, with a sub-millisecond round trip.
Supabase's pooler is ~5ms away, so treat these as a ceiling the real thing will not reach —
the shape is what transfers, not the absolute numbers.
| replicas | pool max_size | worker concurrency | connections used | drain (200 tasks) | throughput |
|---|---|---|---|---|---|
| 1 | 5 | 4 | 5 | 4.3s | 46.9 task/s |
| 2 | 5 | 4 | 10 | 4.2s | 47.6 task/s |
| 4 | 5 | 4 | 20 | 2.2s | 92.3 task/s |
| 2 | 20 | 16 | 40 | 2.1s | 97.1 task/s |
Three things this says:
- Going from 1 replica to 2 bought nothing (46.9 → 47.6). Throughput here is bounded by per-worker concurrency (the semaphore), not by replica count. Adding pods to a saturated semaphore is the most common wrong fix for a slow queue.
- Concurrency is the knob that moved it — 4 replicas (20 connections) and 2 replicas at concurrency 16 (40 connections) land in the same place, ~92-97 task/s. The second buys the same throughput for twice the connections, which on the free tier is the worse trade.
- The budget is
(api + worker replicas) x max_size, and it is spent whether or not the connections are busy. The bottom row costs 40 connections for a 2% gain over the row above it. On Supabase free tier, that arithmetic — not throughput — is what decides replica count.
Nothing failed at any setting, so the real connection ceiling was never hit locally. Finding
it against the actual pooler is the experiment worth running: raise replicas x max_size
until claims slow and PoolTimeout appears, and write the number here.
Queue stuck
Alert: SvcforgeQueueDepthRising
Diagnose. Start here, always:
sfsql -c "select state, count(*) from tasks group by 1;"
Then split the three causes apart — they look identical from the alert and need opposite fixes:
# Stuck leases: rows 'running' with a locked_at that never advances.
sfsql -c "select kind, locked_by, locked_at, last_error from tasks
where state='running' order by locked_at limit 10;"
# No workers: is anything actually consuming?
kubectl get pods -l app=worker -o wide
kubectl logs -l app=worker --tail=20 --prefix
# run_after in the future: backoff has parked everything.
sfsql -c "select count(*) from tasks where state='queued' and run_after > now();"
| What you see | Cause | Fix |
|---|---|---|
running rows, locked_at older than 5m, no worker pods hold those IDs |
Workers died mid-task | None. The reconciler resets expired leases within 60s. If it does not, the reconciler is down — check it. |
Zero worker pods, or all CrashLoopBackOff |
No consumer | Fix the workers. kubectl describe pod -l app=worker. |
Everything queued with run_after far in the future |
Backoff, i.e. tasks are failing and retrying | This is not a queue problem. Go to Provision failing. |
queued rows with run_after <= now() and healthy workers |
Real: claim is not returning rows | Check pooler connection budget (see Supabase full). |
Never hand-edit state='running' back to 'queued'. The lease does that, and doing it
by hand while the worker is actually alive gives you two workers on one task — the exact
thing the whole design prevents.
Escalate if workers are healthy, leases are fresh, and depth still grows: that is a claim-query or pooler bug, not an ops problem.
Provision failing
Alert: SvcforgeTaskFailed (tasks reaching the dead-letter state), or SvcforgeProvisionSlow
(they still succeed, but the p95 has drifted out — usually cluster capacity, diagnosed the same way).
Diagnose:
sfsql -c "select id, service_type, chart_version, error from instances where state='failed';"
sfsql -c "select id, kind, attempts, last_error from tasks where state='failed' order by id desc limit 10;"
NS=tenant-<team>
helm list -n "$NS"
kubectl get events -n "$NS" --sort-by=.lastTimestamp | tail -20
error looks like |
Cause | Fix |
|---|---|---|
chart "..." version "..." not found |
Bad pin in catalog.yaml |
Correct the version, commit. The next upgrade/provision picks it up. |
timed out waiting for the condition |
Cluster capacity — the chart installed but pods never became ready | kubectl describe pod -n $NS. Usually Insufficient cpu/memory or a PVC pending on Longhorn. |
Error: ... forbidden: User "system:serviceaccount:svcforge:..." |
RBAC | The worker's ClusterRole is missing a verb. Chart change, not a manual kubectl edit. |
ImagePullBackOff in events |
Registry auth or a gated image | Prefer bitnamilegacy/* images, which pull anonymously. |
After fixing the cause, tasks that already dead-lettered do not retry themselves. Requeue deliberately:
sfsql -c "update tasks set state='queued', attempts=0, run_after=now(), last_error=null
where id = <task_id>;"
Escalate if error is empty on a failed instance — that means the failure path itself
lost the message.
Orphaned release
Alert: SvcforgeReconcilerStale — the reconciler has not completed a loop recently, so
drift is no longer being detected at all. Drift itself is reported in the reconciler's logs
and metrics rather than paged on, because it is usually benign and always needs a human to
judge. A stale reconciler is the real emergency: nothing is watching.
The control loop never auto-deletes a release. That is deliberate: a bug in the drift check that deletes things is unrecoverable, and one that only reports is a Tuesday.
Diagnose:
helm list -A -o json | jq -r '.[].name' | sort > /tmp/real
sfsql -tAc "select release_name from instances where state in ('ready','provisioning');" | sort > /tmp/want
comm -23 /tmp/real /tmp/want # in the cluster, not in the DB -> orphan
comm -13 /tmp/real /tmp/want # in the DB, not in the cluster -> missing
| Direction | Meaning | Action |
|---|---|---|
| Orphan (cluster only) | A deprovision half-finished, or someone ran helm install by hand |
Confirm the tenant is gone, then helm uninstall <name> -n <ns> by hand, and write down that you did. |
| Missing (DB only) | Someone deleted a release out from under us | Requeue a provision task for that instance. It is idempotent; it will rebuild. |
Escalate before uninstalling anything you did not personally trace to a deleted instance.
A wrong helm uninstall here deletes a tenant's data.
Supabase full
Alert: none — and that is a gap, not a decision. The free tier is 0.5 GB and nothing pages you before you hit it; you find out when writes start failing. Until someone adds a size rule, this entry is driven by the calendar, not by an alert. Check it monthly:
sfsql -c "select pg_size_pretty(pg_database_size(current_database()));"
Diagnose:
sfsql -c "select pg_size_pretty(pg_database_size(current_database()));"
sfsql -c "select relname, pg_size_pretty(pg_total_relation_size(relid)) from pg_catalog.pg_statio_user_tables
order by pg_total_relation_size(relid) desc limit 5;"
sfsql -c "select count(*) from pg_stat_activity;"
It is almost always tasks. Every provision, upgrade and verify leaves a row forever.
sfsql -c "delete from tasks where state='done' and created_at < now() - interval '7 days';"
sfsql -c "vacuum (analyze) tasks;"
vacuum alone reclaims space for reuse by Postgres, but does not return it to the
filesystem — so pg_database_size may barely move. That is expected and fine; the space is
free for new rows. vacuum full does return it, takes an ACCESS EXCLUSIVE lock, and will
stall every worker for its duration. Only do it in a window, and only if you actually need
the bytes back.
If count(*) from pg_stat_activity is near the pooler's ceiling, the cause is arithmetic, not
load: worker_replicas × pool_max_size + api_replicas × pool_max_size. Lower max_size or
replicas. Replica count is a database-capacity decision here, which is unusual and worth
remembering.
Escalate if size is growing with tasks already pruned — that means instances is
growing, i.e. tenants are real, i.e. the free tier is the wrong tier.